The Autonomous Enterprise: Better Decisions in Motion
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How do you move fast enough to capture opportunity without putting fulfillment, margin, or customer trust at risk?
Berbeda dengan digitalisasi, autonomous business mengarah pada perusahaan yang mampu mengambil keputusan, menjalankan tindakan, dan menciptakan nilai baru secara lebih mandiri.
Organizations are facing a paradox as technology-driven decisions become opaque, complicating trust despite efficiency gains. Bhavna Hirani emphasizes the need for intelligent syst...
In my 30 years of navigating the IT landscape, I’ve seen ‘Agile’ transform from a revolutionary mindset into what often feels like a series of manual project hurdles. In many larg...
Agentic AI is a critical enabler of a more autonomous supply chain operating model.
Agentic AI systems represent a paradigm shift in network operations, facilitating the transition from traditional reactive monitoring to fully autonomous management frameworks. For...
Autonomous networks vary by operational domain, with progress determined less by technology than by data quality, integration readiness and governance foundations. Nemanja Prekovic...
The conceptual framework governing global digital infrastructure has evolved dramatically as we progress through 2026. Gone are the days when corporate networks could be managed th...
The rise of multi-agent AI systems in enterprises could disrupt traditional workflows, reducing reliance on middleware and reshaping industries. The post OpenAI and Anthropic unvei...
Enterprise AI teams are giving agents more freedom at the same moment their confidence in automated testing is collapsing.Half of enterprises have deployed an AI agent or LLM featu...
Organizations want AI systems capable of prioritizing alerts, routing workflows, coordinating across applications, initiating remediation steps, summarizing operational data and ad...
Presented by SplunkEvery day, organizations learn things their AI systems never get to use.A security analyst corrects an AI-generated investigation. A network engineer identifies...
New?operating?model gives AI authority while?maintaining?human?control
By Neeraj Aggarwal Payments is entering a decisive decade—one in which the institutions that thrive ...
New framework moves AI oversight from transaction approval to policy design, giving CFOs a governance model for autonomous finance operations
The marketing pitch for enterprise AI’s autonomous agents has started to sound almost like a fairy tale: Hand one a task or objective, walk away, and it figures out the rest. It ru...
Autonomy is automation that has gained trust; the trust of the network, the trust of the subscribers and the trust of the mobile operators. As VodafoneThree integrates two major mo...
Data was the moat of the last decade; context is the moat of the next.
Snowflake CEO Sridhar Ramaswamy and Accenture's Rajendra Prasad lay out how governed data and Context Graph power enterprise-scale agentic decisions.
Autologyx today (15 June) announced a new set of MCP-enabled capabilities designed to help law firms and other regulated organisations move from AI experimentation to governed AI e...
Agentic AI is no longer defined by chat-based interactions or experimental prototypes, but by its growing ability to execute work across enterprise environments. In March 2026, Ope...
Traditional test automation has hit a ceiling, with teams spending 20–30% of engineering effort fixing broken scripts. Autonomous testing replaces brittle checks with self-healing,...
ManageEngine announced the rollout of Zia Agents, the company's proprietary AI-powered autonomous agent, across its digital enterprise management suite.
EA Teams Are Spending Too Much Time on the Wrong Things Here's what we hear consistently from EA leaders: their teams are brilliant, strategic people who are stuck doing work that...
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